Organizations we help
Antithesis helps organizations make their software systems more reliable, and their engineering teams more efficient. Antithesis is particularly well suited to detecting and debugging problems in distributed systems, which includes many software systems in use at large and medium-sized companies today.
Our current model works best with software engineering organizations that are building and maintaining their own software systems. We have also worked with a number of organizations that are buyers of software, by helping to evaluate their vendors.
Here are a few of the teams we've worked with:
Antithesis is an exciting and unique tool for debugging blockchains and distributed systems. We used it extensively when testing the Merge. Antithesis was able to deterministically explore and find bugs in very exotic states and scenarios, ones that would have been nearly impossible to hand-code and unlikely to be hit in less stateful, traditional fuzzing.
This is the kind of bug we’d often take a month+ to solve with all hands on deck, getting there in a week improves our release confidence and saves me 3+ weeks of some of my most expensive engineers
We could hire 100 distributed systems engineers and make them write integration tests for an entire year, and they probably wouldn’t be able to trigger all the interesting states and behavior that a single Antithesis run covered in 6 hours of wall clock time.
Testing Stardog with Antithesis gives us increased confidence that unanticipated execution paths are being explored and cleared of bugs before they impact our customers, and their ability to perfectly reproduce every bug found has made diagnosing and debugging issues much faster for our team.
Software nondeterminism is a significant problem for decentralized systems, and it’s extremely hard to prevent with conventional testing. Mysten Labs leverages Antithesis to identify, reproduce, and fix many impossibly subtle heisenbugs before they reach production. It’s one of our secret weapons in building the safe and reliable software behind Sui, Move, and Walrus. We’re truly grateful to Antithesis – their technology and team are both amazing.
Antithesis’s deterministic testing framework, featuring state space exploration and sophisticated fuzzing techniques, empowers us to rigorously examine and challenge uninstrumented programs in a methodical and predictable manner. As we embark on this collaboration, our aim is to significantly expedite the process of identifying and resolving bugs, ultimately enhancing the dependability and performance of our platforms.
It’s not just the time you spend to find and fix the problem, it’s the fear and uncertainty that really slow you down. The confidence Antithesis creates enables us to move so much faster.
At Ramp, we care deeply about reliability, but the most dangerous bugs are the ones we don’t even know to look for. Antithesis helped us uncover high-impact issues in complex code paths that are rarely exercised in production. Unlike unit tests, which validate isolated functions, or E2E tests, which check expected user flows, Antithesis simulates unpredictable failures and rare edge cases across the entire system. This approach allowed us to validate critical system behaviors with a level of confidence that’s hard – and often impossible – to achieve using traditional testing methods.